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Raymond J. Dolan

Researcher at University College London

Publications -  940
Citations -  150202

Raymond J. Dolan is an academic researcher from University College London. The author has contributed to research in topics: Prefrontal cortex & Functional magnetic resonance imaging. The author has an hindex of 196, co-authored 919 publications receiving 138540 citations. Previous affiliations of Raymond J. Dolan include VU University Amsterdam & McGovern Institute for Brain Research.

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Erratum: Computational psychiatry: [Trends in Cognitive Sciences 16 (2012), 72-80].

P. Read Montague, +4 more
- 01 May 2012 - 
TL;DR: Montague as mentioned in this paper was supported by National Institute on Drug Abuse grant no R01DA011723-11 (No.R01DA1172311) and was the first to mention the existence of drug abuse.
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Rewarding feedback after correct visual discriminations has both general and specific influences on visual cortex.

Rimona S. Weil, +12 more
- 01 Sep 2010 - 
TL;DR: Functional magnetic resonance imaging is used to investigate how rewarding feedback affected activity in distinct areas of human visual cortex, separating rewarding feedback events after correct performance from consequences of reward for spatially specific responses in V1.
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Risk Taking for Potential Reward Decreases across the Lifespan

Robb B. Rutledge, +11 more
- 20 Jun 2016 - 
TL;DR: Using a novel approach-avoidance computational model, a Pavlovian attraction to potential reward declined with age, suggesting that age-related decline in this neuromodulator could lead to the observed decrease in risk taking.
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Functional Evidence for a Dual Route to Amygdala

Marta I. Garrido, +3 more
- 24 Jan 2012 - 
TL;DR: The data supports the idea that an expedited evaluation of sensory input is best explained by an architecture that involves a subcortical path to the amygdala, and finds that neuronal responses elicited by salient information were better explained when a sub cortical pathway was included.
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Peak frequency in the theta and alpha bands correlates with human working memory capacity.

Rosalyn J. Moran, +6 more
- 11 Nov 2010 - 
TL;DR: From oscillatory activity recorded during the maintenance period of a visual working memory task, it is shown that a network of brain regions displays an increase in peak 4–12 Hz frequency with increasing memory load, and the peak of oscillation along this theta–alpha frequency axis is significantly higher in high capacity individuals compared to low capacity individuals.